21 citations · 23 across the 5 of their papers we have counts for
6 papers
AI-Centered Grand Challenges in Visual Analytics for Healthcare: Synthesizing the VAHC 2025 Community Experience
Jürgen Bernard, David Gotz, Robert S Laramee +4
The intersection of AI, healthcare, and visualization is evolving rapidly, posing challenges that cut across disciplinary boundaries and resist easy resolution. The Visual Analytic…
ATWL: A Formal Language for Representing, Comparing, and Reusing Visual Analytics Workflows
Natalia Andrienko, Gennady Andrienko, Jürgen Bernard +2
Visual analytics (VA) workflows combine data transformation, feature computation, visual representation, and human interpretation, but they are usually described in prose. This hin…
Grand Challenge: Mediating Between Confirmatory and Exploratory Research Cultures in Health Sciences and Visual Analytics
Viktor von Wyl, Jürgen Bernard
Collaboration between health science and visual analytics research is often hindered by different, sometimes incompatible approaches to research design. Health science often follow…
VIVA: Virtual Healthcare Interactions Using Visual Analytics, With Controllability Through Configuration
Jürgen Bernard, Mara Solen, Helen Novak Lauscher +3
At the beginning of the COVID-19 pandemic, HealthLink BC (HLBC) rapidly integrated physicians into the triage process of their virtual healthcare service to improve patient outcome…
DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing -- A Design Study
Alexander Wyss, Gabriela Morgenshtern, Amanda Hirsch-Hüsler +1
In medical diagnostics of both early disease detection and routine patient care, particle-based contamination of in-vitro diagnostics consumables poses a significant threat to pati…
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
Zipeng Liu, Yang Wang, Jürgen Bernard +1
Graph neural networks (GNNs) are a class of powerful machine learning tools that model node relations for making predictions of nodes or links. GNN developers rely on quantitative…